SlideShare a Scribd company logo
1 of 7
Meetup Series on
Hadoop Ingestion Made Easy
Part 3: Ingestion of Unbounded Data
(Kafka -> Enrich -> Transform -> JDBC)
Dr. Sandeep Deshmukh
Committer@Apache Apex
Engineer@DataTorrent
Yogi Devendra
Committer@Apache Apex
Engineer@DataTorrent
2
What is Ingestion
Data ingestion
• A process of obtaining, importing, and analyzing data for later use or storage
in a database
Big Data Ingestion
• Discovering the data sources
• Importing the data
• Processing data to produce intermediate data
• Sending data out to durable data stores
ETL + Big Data => Data ingestion
3
Requirements
• Read from stream
• Kafka
• JMS
• JDBC
• ….
• Enrich
• Transform
• Store
• JDBC
4
Use Case
Kafka
Reader
Enrich Transform
JDBC
Output
● Kafka 0.9
● Multi-topic
● Multi-partition
● Enrich State
using City
● Mark a
transaction as
HIGH or LOW
value
● Store in
DB
Parallel Partition can scale to large volume
5 5
Let us walk-through the code and appreciate how simple it is to
use Apex
● Code walk-through for an data ingestion pipeline using
○ Operators/Modules in Malhar
○ Drag-n-drop user interface
● Validate
○ Partitioning
○ Scalability
Let us create and run the app
6
Resources
• http://apex.apache.org/
• Learn more: http://apex.apache.org/docs.html
• Subscribe - http://apex.apache.org/community.html
• Download - http://apex.apache.org/downloads.html
• Follow @ApacheApex - https://twitter.com/apacheapex
• Meetups – http://www.meetup.com/pro/apacheapex/
• More examples: https://github.com/DataTorrent/examples
• Slideshare: http://www.slideshare.net/ApacheApex/presentations
• https://www.youtube.com/results?search_query=apache+apex
• Free Enterprise License for Startups -
https://www.datatorrent.com/product/startup-accelerator/
Q&A
7

More Related Content

What's hot

Introduction to Apache Apex
Introduction to Apache ApexIntroduction to Apache Apex
Introduction to Apache ApexApache Apex
 
Java High Level Stream API
Java High Level Stream APIJava High Level Stream API
Java High Level Stream APIApache Apex
 
Intro to Apache Apex (next gen Hadoop) & comparison to Spark Streaming
Intro to Apache Apex (next gen Hadoop) & comparison to Spark StreamingIntro to Apache Apex (next gen Hadoop) & comparison to Spark Streaming
Intro to Apache Apex (next gen Hadoop) & comparison to Spark StreamingApache Apex
 
Intro to Apache Apex - Next Gen Native Hadoop Platform - Hackac
Intro to Apache Apex - Next Gen Native Hadoop Platform - HackacIntro to Apache Apex - Next Gen Native Hadoop Platform - Hackac
Intro to Apache Apex - Next Gen Native Hadoop Platform - HackacApache Apex
 
Deep Dive into Apache Apex App Development
Deep Dive into Apache Apex App DevelopmentDeep Dive into Apache Apex App Development
Deep Dive into Apache Apex App DevelopmentApache Apex
 
Introduction to Apache Apex - CoDS 2016
Introduction to Apache Apex - CoDS 2016Introduction to Apache Apex - CoDS 2016
Introduction to Apache Apex - CoDS 2016Bhupesh Chawda
 
Developing streaming applications with apache apex (strata + hadoop world)
Developing streaming applications with apache apex (strata + hadoop world)Developing streaming applications with apache apex (strata + hadoop world)
Developing streaming applications with apache apex (strata + hadoop world)Apache Apex
 
Actionable Insights with Apache Apex at Apache Big Data 2017 by Devendra Tagare
Actionable Insights with Apache Apex at Apache Big Data 2017 by Devendra TagareActionable Insights with Apache Apex at Apache Big Data 2017 by Devendra Tagare
Actionable Insights with Apache Apex at Apache Big Data 2017 by Devendra TagareApache Apex
 
Apache Apex: Stream Processing Architecture and Applications
Apache Apex: Stream Processing Architecture and ApplicationsApache Apex: Stream Processing Architecture and Applications
Apache Apex: Stream Processing Architecture and ApplicationsThomas Weise
 
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache Apex
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache ApexHadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache Apex
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
 
Apache Big Data 2016: Next Gen Big Data Analytics with Apache Apex
Apache Big Data 2016: Next Gen Big Data Analytics with Apache ApexApache Big Data 2016: Next Gen Big Data Analytics with Apache Apex
Apache Big Data 2016: Next Gen Big Data Analytics with Apache ApexApache Apex
 
Building your first aplication using Apache Apex
Building your first aplication using Apache ApexBuilding your first aplication using Apache Apex
Building your first aplication using Apache ApexYogi Devendra Vyavahare
 
DataTorrent Presentation @ Big Data Application Meetup
DataTorrent Presentation @ Big Data Application MeetupDataTorrent Presentation @ Big Data Application Meetup
DataTorrent Presentation @ Big Data Application MeetupThomas Weise
 
Architectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark StreamingArchitectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark StreamingApache Apex
 
Introduction to Apache Apex
Introduction to Apache ApexIntroduction to Apache Apex
Introduction to Apache ApexApache Apex
 
Smart Partitioning with Apache Apex (Webinar)
Smart Partitioning with Apache Apex (Webinar)Smart Partitioning with Apache Apex (Webinar)
Smart Partitioning with Apache Apex (Webinar)Apache Apex
 
Ingestion and Dimensions Compute and Enrich using Apache Apex
Ingestion and Dimensions Compute and Enrich using Apache ApexIngestion and Dimensions Compute and Enrich using Apache Apex
Ingestion and Dimensions Compute and Enrich using Apache ApexApache Apex
 
Introduction to Apache Apex and writing a big data streaming application
Introduction to Apache Apex and writing a big data streaming application  Introduction to Apache Apex and writing a big data streaming application
Introduction to Apache Apex and writing a big data streaming application Apache Apex
 
Kafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, Uber
Kafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, UberKafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, Uber
Kafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, UberHostedbyConfluent
 
Apache Apex Fault Tolerance and Processing Semantics
Apache Apex Fault Tolerance and Processing SemanticsApache Apex Fault Tolerance and Processing Semantics
Apache Apex Fault Tolerance and Processing SemanticsApache Apex
 

What's hot (20)

Introduction to Apache Apex
Introduction to Apache ApexIntroduction to Apache Apex
Introduction to Apache Apex
 
Java High Level Stream API
Java High Level Stream APIJava High Level Stream API
Java High Level Stream API
 
Intro to Apache Apex (next gen Hadoop) & comparison to Spark Streaming
Intro to Apache Apex (next gen Hadoop) & comparison to Spark StreamingIntro to Apache Apex (next gen Hadoop) & comparison to Spark Streaming
Intro to Apache Apex (next gen Hadoop) & comparison to Spark Streaming
 
Intro to Apache Apex - Next Gen Native Hadoop Platform - Hackac
Intro to Apache Apex - Next Gen Native Hadoop Platform - HackacIntro to Apache Apex - Next Gen Native Hadoop Platform - Hackac
Intro to Apache Apex - Next Gen Native Hadoop Platform - Hackac
 
Deep Dive into Apache Apex App Development
Deep Dive into Apache Apex App DevelopmentDeep Dive into Apache Apex App Development
Deep Dive into Apache Apex App Development
 
Introduction to Apache Apex - CoDS 2016
Introduction to Apache Apex - CoDS 2016Introduction to Apache Apex - CoDS 2016
Introduction to Apache Apex - CoDS 2016
 
Developing streaming applications with apache apex (strata + hadoop world)
Developing streaming applications with apache apex (strata + hadoop world)Developing streaming applications with apache apex (strata + hadoop world)
Developing streaming applications with apache apex (strata + hadoop world)
 
Actionable Insights with Apache Apex at Apache Big Data 2017 by Devendra Tagare
Actionable Insights with Apache Apex at Apache Big Data 2017 by Devendra TagareActionable Insights with Apache Apex at Apache Big Data 2017 by Devendra Tagare
Actionable Insights with Apache Apex at Apache Big Data 2017 by Devendra Tagare
 
Apache Apex: Stream Processing Architecture and Applications
Apache Apex: Stream Processing Architecture and ApplicationsApache Apex: Stream Processing Architecture and Applications
Apache Apex: Stream Processing Architecture and Applications
 
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache Apex
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache ApexHadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache Apex
Hadoop Summit SJ 2016: Next Gen Big Data Analytics with Apache Apex
 
Apache Big Data 2016: Next Gen Big Data Analytics with Apache Apex
Apache Big Data 2016: Next Gen Big Data Analytics with Apache ApexApache Big Data 2016: Next Gen Big Data Analytics with Apache Apex
Apache Big Data 2016: Next Gen Big Data Analytics with Apache Apex
 
Building your first aplication using Apache Apex
Building your first aplication using Apache ApexBuilding your first aplication using Apache Apex
Building your first aplication using Apache Apex
 
DataTorrent Presentation @ Big Data Application Meetup
DataTorrent Presentation @ Big Data Application MeetupDataTorrent Presentation @ Big Data Application Meetup
DataTorrent Presentation @ Big Data Application Meetup
 
Architectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark StreamingArchitectual Comparison of Apache Apex and Spark Streaming
Architectual Comparison of Apache Apex and Spark Streaming
 
Introduction to Apache Apex
Introduction to Apache ApexIntroduction to Apache Apex
Introduction to Apache Apex
 
Smart Partitioning with Apache Apex (Webinar)
Smart Partitioning with Apache Apex (Webinar)Smart Partitioning with Apache Apex (Webinar)
Smart Partitioning with Apache Apex (Webinar)
 
Ingestion and Dimensions Compute and Enrich using Apache Apex
Ingestion and Dimensions Compute and Enrich using Apache ApexIngestion and Dimensions Compute and Enrich using Apache Apex
Ingestion and Dimensions Compute and Enrich using Apache Apex
 
Introduction to Apache Apex and writing a big data streaming application
Introduction to Apache Apex and writing a big data streaming application  Introduction to Apache Apex and writing a big data streaming application
Introduction to Apache Apex and writing a big data streaming application
 
Kafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, Uber
Kafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, UberKafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, Uber
Kafka Tiered Storage | Satish Duggana and Sriharsha Chintalapani, Uber
 
Apache Apex Fault Tolerance and Processing Semantics
Apache Apex Fault Tolerance and Processing SemanticsApache Apex Fault Tolerance and Processing Semantics
Apache Apex Fault Tolerance and Processing Semantics
 

Viewers also liked

Apache Apex Kafka Input Operator
Apache Apex Kafka Input OperatorApache Apex Kafka Input Operator
Apache Apex Kafka Input OperatorApache Apex
 
Intro to Big Data Hadoop
Intro to Big Data HadoopIntro to Big Data Hadoop
Intro to Big Data HadoopApache Apex
 
Introduction to Yarn
Introduction to YarnIntroduction to Yarn
Introduction to YarnApache Apex
 
Fault-Tolerant File Input & Output
Fault-Tolerant File Input & OutputFault-Tolerant File Input & Output
Fault-Tolerant File Input & OutputApache Apex
 
Apache Apex connector with Kafka 0.9 consumer API
Apache Apex connector with Kafka 0.9 consumer APIApache Apex connector with Kafka 0.9 consumer API
Apache Apex connector with Kafka 0.9 consumer APIApache Apex
 
Gobblin: Unifying Data Ingestion for Hadoop
Gobblin: Unifying Data Ingestion for HadoopGobblin: Unifying Data Ingestion for Hadoop
Gobblin: Unifying Data Ingestion for HadoopYinan Li
 
High Speed Continuous & Reliable Data Ingest into Hadoop
High Speed Continuous & Reliable Data Ingest into HadoopHigh Speed Continuous & Reliable Data Ingest into Hadoop
High Speed Continuous & Reliable Data Ingest into HadoopDataWorks Summit
 
Stream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache ApexStream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache ApexApache Apex
 
Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...
Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...
Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...Chris Fregly
 
Data Ingestion, Extraction & Parsing on Hadoop
Data Ingestion, Extraction & Parsing on HadoopData Ingestion, Extraction & Parsing on Hadoop
Data Ingestion, Extraction & Parsing on Hadoopskaluska
 
Spark Advanced Analytics NJ Data Science Meetup - Princeton University
Spark Advanced Analytics NJ Data Science Meetup - Princeton UniversitySpark Advanced Analytics NJ Data Science Meetup - Princeton University
Spark Advanced Analytics NJ Data Science Meetup - Princeton UniversityAlex Zeltov
 
Map reduce: beyond word count
Map reduce: beyond word countMap reduce: beyond word count
Map reduce: beyond word countJeff Patti
 
Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...
Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...
Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...Spark Summit
 
Scala - The Simple Parts, SFScala presentation
Scala - The Simple Parts, SFScala presentationScala - The Simple Parts, SFScala presentation
Scala - The Simple Parts, SFScala presentationMartin Odersky
 
Advanced Production Debugging
Advanced Production DebuggingAdvanced Production Debugging
Advanced Production DebuggingTakipi
 
Introduction to Map Reduce
Introduction to Map ReduceIntroduction to Map Reduce
Introduction to Map ReduceApache Apex
 

Viewers also liked (20)

Apache Apex Kafka Input Operator
Apache Apex Kafka Input OperatorApache Apex Kafka Input Operator
Apache Apex Kafka Input Operator
 
Intro to Big Data Hadoop
Intro to Big Data HadoopIntro to Big Data Hadoop
Intro to Big Data Hadoop
 
Introduction to Yarn
Introduction to YarnIntroduction to Yarn
Introduction to Yarn
 
Fault-Tolerant File Input & Output
Fault-Tolerant File Input & OutputFault-Tolerant File Input & Output
Fault-Tolerant File Input & Output
 
Apache Apex connector with Kafka 0.9 consumer API
Apache Apex connector with Kafka 0.9 consumer APIApache Apex connector with Kafka 0.9 consumer API
Apache Apex connector with Kafka 0.9 consumer API
 
Gobblin: Unifying Data Ingestion for Hadoop
Gobblin: Unifying Data Ingestion for HadoopGobblin: Unifying Data Ingestion for Hadoop
Gobblin: Unifying Data Ingestion for Hadoop
 
High Speed Continuous & Reliable Data Ingest into Hadoop
High Speed Continuous & Reliable Data Ingest into HadoopHigh Speed Continuous & Reliable Data Ingest into Hadoop
High Speed Continuous & Reliable Data Ingest into Hadoop
 
Stream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache ApexStream data from Apache Kafka for processing with Apache Apex
Stream data from Apache Kafka for processing with Apache Apex
 
Spark Streaming into context
Spark Streaming into contextSpark Streaming into context
Spark Streaming into context
 
Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...
Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...
Paris Spark Meetup Oct 26, 2015 - Spark After Dark v1.5 - Best of Advanced Ap...
 
Spark streaming: Best Practices
Spark streaming: Best PracticesSpark streaming: Best Practices
Spark streaming: Best Practices
 
Data Ingestion, Extraction & Parsing on Hadoop
Data Ingestion, Extraction & Parsing on HadoopData Ingestion, Extraction & Parsing on Hadoop
Data Ingestion, Extraction & Parsing on Hadoop
 
Spark Advanced Analytics NJ Data Science Meetup - Princeton University
Spark Advanced Analytics NJ Data Science Meetup - Princeton UniversitySpark Advanced Analytics NJ Data Science Meetup - Princeton University
Spark Advanced Analytics NJ Data Science Meetup - Princeton University
 
Map reduce: beyond word count
Map reduce: beyond word countMap reduce: beyond word count
Map reduce: beyond word count
 
Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...
Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...
Recipes for Running Spark Streaming Applications in Production-(Tathagata Das...
 
Spark+flume seattle
Spark+flume seattleSpark+flume seattle
Spark+flume seattle
 
Scala - The Simple Parts, SFScala presentation
Scala - The Simple Parts, SFScala presentationScala - The Simple Parts, SFScala presentation
Scala - The Simple Parts, SFScala presentation
 
Advanced Production Debugging
Advanced Production DebuggingAdvanced Production Debugging
Advanced Production Debugging
 
HDFS Internals
HDFS InternalsHDFS Internals
HDFS Internals
 
Introduction to Map Reduce
Introduction to Map ReduceIntroduction to Map Reduce
Introduction to Map Reduce
 

Similar to Ingesting Data from Kafka to JDBC with Transformation and Enrichment

What's New in Apache Hive 3.0?
What's New in Apache Hive 3.0?What's New in Apache Hive 3.0?
What's New in Apache Hive 3.0?DataWorks Summit
 
What's New in Apache Hive 3.0 - Tokyo
What's New in Apache Hive 3.0 - TokyoWhat's New in Apache Hive 3.0 - Tokyo
What's New in Apache Hive 3.0 - TokyoDataWorks Summit
 
Modernizing Global Shared Data Analytics Platform and our Alluxio Journey
Modernizing Global Shared Data Analytics Platform and our Alluxio JourneyModernizing Global Shared Data Analytics Platform and our Alluxio Journey
Modernizing Global Shared Data Analytics Platform and our Alluxio JourneyAlluxio, Inc.
 
Otimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft AzureOtimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft AzureLuan Moreno Medeiros Maciel
 
Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2Connor McDonald
 
Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...
Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...
Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...AboutYouGmbH
 
Slide 2 collecting, storing and analyzing big data
Slide 2 collecting, storing and analyzing big dataSlide 2 collecting, storing and analyzing big data
Slide 2 collecting, storing and analyzing big dataTrieu Nguyen
 
Gruter TECHDAY 2014 Realtime Processing in Telco
Gruter TECHDAY 2014 Realtime Processing in TelcoGruter TECHDAY 2014 Realtime Processing in Telco
Gruter TECHDAY 2014 Realtime Processing in TelcoGruter
 
Building Apps with Distributed In-Memory Computing Using Apache Geode
Building Apps with Distributed In-Memory Computing Using Apache GeodeBuilding Apps with Distributed In-Memory Computing Using Apache Geode
Building Apps with Distributed In-Memory Computing Using Apache GeodePivotalOpenSourceHub
 
Replicate from Oracle to data warehouses and analytics
Replicate from Oracle to data warehouses and analyticsReplicate from Oracle to data warehouses and analytics
Replicate from Oracle to data warehouses and analyticsContinuent
 
Hadoop and IDW - When_to_use_which
Hadoop and IDW - When_to_use_whichHadoop and IDW - When_to_use_which
Hadoop and IDW - When_to_use_whichDan TheMan
 
A Journey from Oracle to PostgreSQL
A Journey from Oracle to PostgreSQLA Journey from Oracle to PostgreSQL
A Journey from Oracle to PostgreSQLEDB
 
Oracle big data appliance and solutions
Oracle big data appliance and solutionsOracle big data appliance and solutions
Oracle big data appliance and solutionssolarisyougood
 
JDBC Connectivity Model
JDBC Connectivity ModelJDBC Connectivity Model
JDBC Connectivity Modelkunj desai
 
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010Bhupesh Bansal
 
Hadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedInHadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedInHadoop User Group
 
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data Platform
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data PlatformModernize Your Existing EDW with IBM Big SQL & Hortonworks Data Platform
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data PlatformHortonworks
 
Presentation big dataappliance-overview_oow_v3
Presentation   big dataappliance-overview_oow_v3Presentation   big dataappliance-overview_oow_v3
Presentation big dataappliance-overview_oow_v3xKinAnx
 

Similar to Ingesting Data from Kafka to JDBC with Transformation and Enrichment (20)

What's New in Apache Hive 3.0?
What's New in Apache Hive 3.0?What's New in Apache Hive 3.0?
What's New in Apache Hive 3.0?
 
What's New in Apache Hive 3.0 - Tokyo
What's New in Apache Hive 3.0 - TokyoWhat's New in Apache Hive 3.0 - Tokyo
What's New in Apache Hive 3.0 - Tokyo
 
Azure Data Engineering.pptx
Azure Data Engineering.pptxAzure Data Engineering.pptx
Azure Data Engineering.pptx
 
Modernizing Global Shared Data Analytics Platform and our Alluxio Journey
Modernizing Global Shared Data Analytics Platform and our Alluxio JourneyModernizing Global Shared Data Analytics Platform and our Alluxio Journey
Modernizing Global Shared Data Analytics Platform and our Alluxio Journey
 
Otimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft AzureOtimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
Otimizações de Projetos de Big Data, Dw e AI no Microsoft Azure
 
Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2Whats new in Oracle Database 12c release 12.1.0.2
Whats new in Oracle Database 12c release 12.1.0.2
 
Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...
Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...
Artur Borycki - Beyond Lambda - how to get from logical to physical - code.ta...
 
Slide 2 collecting, storing and analyzing big data
Slide 2 collecting, storing and analyzing big dataSlide 2 collecting, storing and analyzing big data
Slide 2 collecting, storing and analyzing big data
 
Kafka & Hadoop in Rakuten
Kafka & Hadoop in RakutenKafka & Hadoop in Rakuten
Kafka & Hadoop in Rakuten
 
Gruter TECHDAY 2014 Realtime Processing in Telco
Gruter TECHDAY 2014 Realtime Processing in TelcoGruter TECHDAY 2014 Realtime Processing in Telco
Gruter TECHDAY 2014 Realtime Processing in Telco
 
Building Apps with Distributed In-Memory Computing Using Apache Geode
Building Apps with Distributed In-Memory Computing Using Apache GeodeBuilding Apps with Distributed In-Memory Computing Using Apache Geode
Building Apps with Distributed In-Memory Computing Using Apache Geode
 
Replicate from Oracle to data warehouses and analytics
Replicate from Oracle to data warehouses and analyticsReplicate from Oracle to data warehouses and analytics
Replicate from Oracle to data warehouses and analytics
 
Hadoop and IDW - When_to_use_which
Hadoop and IDW - When_to_use_whichHadoop and IDW - When_to_use_which
Hadoop and IDW - When_to_use_which
 
A Journey from Oracle to PostgreSQL
A Journey from Oracle to PostgreSQLA Journey from Oracle to PostgreSQL
A Journey from Oracle to PostgreSQL
 
Oracle big data appliance and solutions
Oracle big data appliance and solutionsOracle big data appliance and solutions
Oracle big data appliance and solutions
 
JDBC Connectivity Model
JDBC Connectivity ModelJDBC Connectivity Model
JDBC Connectivity Model
 
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010
Voldemort & Hadoop @ Linkedin, Hadoop User Group Jan 2010
 
Hadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedInHadoop and Voldemort @ LinkedIn
Hadoop and Voldemort @ LinkedIn
 
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data Platform
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data PlatformModernize Your Existing EDW with IBM Big SQL & Hortonworks Data Platform
Modernize Your Existing EDW with IBM Big SQL & Hortonworks Data Platform
 
Presentation big dataappliance-overview_oow_v3
Presentation   big dataappliance-overview_oow_v3Presentation   big dataappliance-overview_oow_v3
Presentation big dataappliance-overview_oow_v3
 

More from Apache Apex

Low Latency Polyglot Model Scoring using Apache Apex
Low Latency Polyglot Model Scoring using Apache ApexLow Latency Polyglot Model Scoring using Apache Apex
Low Latency Polyglot Model Scoring using Apache ApexApache Apex
 
Hadoop Interacting with HDFS
Hadoop Interacting with HDFSHadoop Interacting with HDFS
Hadoop Interacting with HDFSApache Apex
 
Introduction to Real-Time Data Processing
Introduction to Real-Time Data ProcessingIntroduction to Real-Time Data Processing
Introduction to Real-Time Data ProcessingApache Apex
 
Big Data Berlin v8.0 Stream Processing with Apache Apex
Big Data Berlin v8.0 Stream Processing with Apache Apex Big Data Berlin v8.0 Stream Processing with Apache Apex
Big Data Berlin v8.0 Stream Processing with Apache Apex Apache Apex
 
Apache Beam (incubating)
Apache Beam (incubating)Apache Beam (incubating)
Apache Beam (incubating)Apache Apex
 
Making sense of Apache Bigtop's role in ODPi and how it matters to Apache Apex
Making sense of Apache Bigtop's role in ODPi and how it matters to Apache ApexMaking sense of Apache Bigtop's role in ODPi and how it matters to Apache Apex
Making sense of Apache Bigtop's role in ODPi and how it matters to Apache ApexApache Apex
 
Apache Apex & Bigtop
Apache Apex & BigtopApache Apex & Bigtop
Apache Apex & BigtopApache Apex
 
Building Your First Apache Apex Application
Building Your First Apache Apex ApplicationBuilding Your First Apache Apex Application
Building Your First Apache Apex ApplicationApache Apex
 

More from Apache Apex (8)

Low Latency Polyglot Model Scoring using Apache Apex
Low Latency Polyglot Model Scoring using Apache ApexLow Latency Polyglot Model Scoring using Apache Apex
Low Latency Polyglot Model Scoring using Apache Apex
 
Hadoop Interacting with HDFS
Hadoop Interacting with HDFSHadoop Interacting with HDFS
Hadoop Interacting with HDFS
 
Introduction to Real-Time Data Processing
Introduction to Real-Time Data ProcessingIntroduction to Real-Time Data Processing
Introduction to Real-Time Data Processing
 
Big Data Berlin v8.0 Stream Processing with Apache Apex
Big Data Berlin v8.0 Stream Processing with Apache Apex Big Data Berlin v8.0 Stream Processing with Apache Apex
Big Data Berlin v8.0 Stream Processing with Apache Apex
 
Apache Beam (incubating)
Apache Beam (incubating)Apache Beam (incubating)
Apache Beam (incubating)
 
Making sense of Apache Bigtop's role in ODPi and how it matters to Apache Apex
Making sense of Apache Bigtop's role in ODPi and how it matters to Apache ApexMaking sense of Apache Bigtop's role in ODPi and how it matters to Apache Apex
Making sense of Apache Bigtop's role in ODPi and how it matters to Apache Apex
 
Apache Apex & Bigtop
Apache Apex & BigtopApache Apex & Bigtop
Apache Apex & Bigtop
 
Building Your First Apache Apex Application
Building Your First Apache Apex ApplicationBuilding Your First Apache Apex Application
Building Your First Apache Apex Application
 

Recently uploaded

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 

Recently uploaded (20)

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 

Ingesting Data from Kafka to JDBC with Transformation and Enrichment

  • 1. Meetup Series on Hadoop Ingestion Made Easy Part 3: Ingestion of Unbounded Data (Kafka -> Enrich -> Transform -> JDBC) Dr. Sandeep Deshmukh Committer@Apache Apex Engineer@DataTorrent Yogi Devendra Committer@Apache Apex Engineer@DataTorrent
  • 2. 2 What is Ingestion Data ingestion • A process of obtaining, importing, and analyzing data for later use or storage in a database Big Data Ingestion • Discovering the data sources • Importing the data • Processing data to produce intermediate data • Sending data out to durable data stores ETL + Big Data => Data ingestion
  • 3. 3 Requirements • Read from stream • Kafka • JMS • JDBC • …. • Enrich • Transform • Store • JDBC
  • 4. 4 Use Case Kafka Reader Enrich Transform JDBC Output ● Kafka 0.9 ● Multi-topic ● Multi-partition ● Enrich State using City ● Mark a transaction as HIGH or LOW value ● Store in DB Parallel Partition can scale to large volume
  • 5. 5 5 Let us walk-through the code and appreciate how simple it is to use Apex ● Code walk-through for an data ingestion pipeline using ○ Operators/Modules in Malhar ○ Drag-n-drop user interface ● Validate ○ Partitioning ○ Scalability Let us create and run the app
  • 6. 6 Resources • http://apex.apache.org/ • Learn more: http://apex.apache.org/docs.html • Subscribe - http://apex.apache.org/community.html • Download - http://apex.apache.org/downloads.html • Follow @ApacheApex - https://twitter.com/apacheapex • Meetups – http://www.meetup.com/pro/apacheapex/ • More examples: https://github.com/DataTorrent/examples • Slideshare: http://www.slideshare.net/ApacheApex/presentations • https://www.youtube.com/results?search_query=apache+apex • Free Enterprise License for Startups - https://www.datatorrent.com/product/startup-accelerator/